Data

Lack of reliable data.

Productivity

Underutilized capacity.

Losses

Scrap, rework, waiting, downtime

Organization

Unclear responsibilities and weak coordination.

The analysis can be conducted online or through targeted workshops, depending on data availability, process complexity, and the company’s specific needs.

Workshops and interviews

Targeted sessions with production, quality, maintenance, and management teams to identify the root causes of problems.

Online audit

Analysis of production data, KPI reports, ERP/SAP extracts, downtime, and planning through a structured remote process.

Downtime and Root Causes

Planned and unplanned downtime, micro-stops, changeovers, waiting, and other production interruptions,...

Capacity Utilization

Actual capacity, bottlenecks, resource utilization, and opportunities for improvement.

KPI Metrics

Which KPIs are tracked, how reliable they are, and whether they are being used effectively.

Scrap and Quality

Scrap rate, rework, first-pass yield, most common defects, and the cost of quality losses.

Production Organization and Material Flow

Layout, material flow, work-in-process inventory, internal transport, and process interconnectivity.

People Organization and Responsibilities

Roles and responsibilities, information flow, workload distribution, and staffing levels.

Production Planning

Plan versus actual performance, production order scheduling, plan changes, and priorities.

OEE - Overall Equipment Effectiveness

Availability, Performance, and Quality as the foundation for understanding the actual performance of equipment and production lines.

We combine industrial experience and analytics to identify the real root causes of problems and define concrete steps for improvement.

• Clear overview of the current state

• Identification of the biggest losses

• Clear improvement priorities

• Measurable and achievable recommendations